5+ years of relevant experience in analytics, working with business KPIs and metrics. 2+ years working closely with product managers and user research teams. Fluency in SQL. Experience with data visualization tools (e.g., Tableau, PowerBI). Familiarity with event-tracking tools (e.g., Google Analytics, Amplitude). Familiarity with Python and its Data Science libraries. Experience working with data warehouses (e.g., Redshift, Bigquery). Great communication skills and stakeholder management. Fluent in manipulating, transforming, and reshaping data. Experience with root-cause analysis and applying statistical concepts. Understanding of data pipelines and flows. Experience running A/B Tests and interpreting results.